// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include "paddle/ap/include/adt/adt.h"
#include "paddle/ap/include/axpr/naive_class_ops.h"
#include "paddle/ap/include/axpr/value.h"
#include "paddle/ap/include/paddle/pir/type.h"
#include "paddle/cinn/hlir/dialect/operator/ir/op_attribute.h"
#include "paddle/fluid/pir/dialect/kernel/ir/kernel_attribute.h"
#include "paddle/fluid/pir/dialect/operator/ir/op_attribute.h"
#include "paddle/fluid/pir/dialect/operator/ir/op_type.h"
#include "paddle/pir/include/core/builtin_attribute.h"
#include "paddle/pir/include/dialect/shape/ir/shape_attribute.h"

namespace ap::paddle {

axpr::TypeImpl<axpr::BuiltinClassInstance<axpr::Value>>
GetPirShapeOrDataClass();

adt::Result<axpr::Value> MakeNullShapeOrDataDimExpr(
    const axpr::Value&, const std::vector<axpr::Value>& args);

adt::Result<axpr::Value> MakeTensorShapeOrDataDimExprs(
    const axpr::Value&, const std::vector<axpr::Value>& args);

adt::Result<axpr::Value> MakeTensorListShapeOrDataDimExprs(
    const axpr::Value&, const std::vector<axpr::Value>& args);

adt::Result<axpr::Value> MakeRankedTensorArrayShapeOrDataDimExprs(
    const axpr::Value&, const std::vector<axpr::Value>& args);

template <typename YieldT>
void ForEachShapeOrDataMaker(const YieldT& Yield) {
  Yield("s_null", &MakeNullShapeOrDataDimExpr);
  Yield("s_tensor_shape_or_data", &MakeTensorShapeOrDataDimExprs);
  Yield("s_tensor_list_shape_or_data", &MakeTensorListShapeOrDataDimExprs);
  Yield("s_ranked_tensor_array_shape_or_data",
        &MakeRankedTensorArrayShapeOrDataDimExprs);
}

}  // namespace ap::paddle
